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Uma classe de modelos de regressão bivariados para respostas discreta e contínua
(Universidade Federal de São Carlos, 2016-01-28)
In this thesis, a wide general class of models for mixed responses is proposed in which joint distributions are constructed by the conditional approach (probability density functions, (pdf), as the product of a marginal ...
Defective models for cure rate modeling
(Universidade Federal de São Carlos, 2016-04-01)
Modeling of a cure fraction, also known as long-term survivors, is a part of survival analysis. It studies cases where supposedly there are observations not susceptible to the event of interest. Such cases require special ...
Modelos para séries temporais utilizando as distribuições normal generalizada e log-normal generalizada
(Universidade Federal de São Carlos, 2016-03-23)
From the generalized normal distribution and concepts of the generalized autoregressive
moving averages models we introduce the generalized normal-ARMA model as
an alternative way to model time series exhibiting symmetry ...
Time series forecasting : advances on Theta method
(Universidade Federal de São Carlos, 2016-05-13)
Accurate and robust forecasting methods for univariate time series are critical as the historical data can be used in the strategic planning of such future operations as buying and selling to ensure product inventory and ...
Models for inflated data applied to credit risk analysis
(Universidade Federal de São Carlos, 2016-09-27)
In this thesis, we introduce a methodology based on zero-inflated survival data for the
purposes of dealing with propensity to default (credit risk) in bank loan portfolios. Our
approach enables us to accommodate three ...
Multivariate Copula-based SUR Tobit Models : a modified inference function for margins and interval estimation
(Universidade Federal de São Carlos, 2015-09-30)
In this thesis, we extend the analysis of multivariate Seemingly Unrelated Regression (SUR) Tobit models by modeling their nonlinear dependence structures through copulas. The capability in coupling together the diferent ...
Modelo de mistura com número de componentes desconhecido: estimação via método split-merge
(Universidade Federal de São Carlos, 2009-11-30)
We propose the split-merge MCMC and birth-split-merge MCMC algorithms to analyse mixture models with an unknown number of components. The strategy for splitting is based on data and posterior distribution. Allocation ...
Inferência bayesiana para o tamanho de uma população fechada com erros de registros de dados amostrais
(Universidade Federal de São Carlos, 2008-06-12)
In this dissertation we determine maximum likelihood and bayesian estimates of the size of a closed population, from two lists of data of elements of the population. It has been supposed that the registers of the individual ...
Avaliação de testes diagnósticos na ausência de padrão ouro considerando relaxamento da suposição de independência condicional, covariáveis e estratificação da população: uma abordagem bayesiana
(Universidade Federal de São Carlos, 2011-12-16)
The application of a gold standard reference test in all or part of the sample under investigation is often not feasible for the majority of diseases affecting humans, either by a lack of consensus on which testing may be ...
Dados de sobrevivência multivariados na presença de covariáveis e observações censuradas: uma abordagem bayesiana
(Universidade Federal de São Carlos, 2010-03-04)
In this work, we introduce a Bayesian Analysis for survival multivariate data in the presence of a covariate vector and censored observations. Different frailties or latent variables are considered to capture the correlation ...